data science

NIH Requests Comments on Strategic Plan for Data Science

The National Institutes of Health (NIH) has issued a request for information (RFI) on their draft Strategic Plan for Data Science. As previously reported by COSSA, the NIH Strategic Plan for Data Science was initially released in 2018. The plan is intended to address advances in data collection, including the increase in quantity and diversity within data, and support data science as a tool for understanding health sciences. In the draft, NIH outlines five goals, including aims to improve NIH policy for data collection, maximize data for research, expand opportunities in data collection services, including artificial intelligence (AI), support a federal biomedical research data…

NIH Releases Data Science Strategic Plan

On June 4, the National Institutes of Health (NIH) released its first strategic plan for data science. The strategic plan will serve as a roadmap for modernizing the NIH-supported biomedical data science ecosystem and provide leadership within the broader biomedical research data community. NIH will begin implementing the plan over the next year and focus on usability of NIH-funded biomedical data sets and resources, integration of existing data management tools and development of new ones, and the growing costs of data management. NIH will seek community input during the implementation phase and plans to hire a Chief Data Strategist to…

National Academies’ Gulf Research Program Sponsoring Course on Scientific Synthesis

The Gulf Research Program at the National Academies of Sciences, Engineering, and Medicine is sponsoring a hands-on course on data science run by the National Center for Ecological Analysis and Synthesis. This intensive training is designed to help established researchers, as well as early career researchers gain skills in data management, data science, and scientific synthesis. See the website for details about the program and how to apply. Back to this issue’s table of contents.

NIH Associate Director for Data Science Discusses Opportunities and Challenges of Data Science

At the September 1 meeting of the National Institutes of Health (NIH) Division of Program Coordination, Planning, and Strategic Initiatives (DPCPSI) Council of Councils, Associate Director for Data Science (ADD) Philip Bourne discussed the opportunities and challenges of data science. Bourne began by asking: “What are we going to do with our data?” He explained that from his point of view, science is at point of significant change as a consequence of the amount of data that is being generated. Biomedical research is becoming more analytical, and scientific change is happening faster than anticipated as a result of faster accumulation of…

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